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hopeless-t/README.md

hopeless-t

I build small, inspectable systems for AI-assisted work.

My work focuses on verification, bounded authority, reproducible experiments, and turning ambiguous workflows into testable contracts.

Selected work

Preflight and post-action verification for AI workers and automation.

UNKNOWN stays UNKNOWN. A passing check does not create execution authority.

A small Swift behavior-contract prototype for safe, read-only conversation resynchronization.

Refresh = Observe + Reconcile + Render

Reproducible systems experiments around memory pressure, residency, reclaim behavior, and future-demand mismatch.

Working principles

  • UNKNOWN stays UNKNOWN.
  • Evidence does not create authority.
  • Observation comes before intervention.
  • Execution and verification are separate responsibilities.
  • A successful run is not automatically a successful experiment.
  • Negative results are results.

Explore

Projects · Principles · Research · Evidence

Pinned Loading

  1. chatgpt-refresh-poc chatgpt-refresh-poc Public

    Swift PoC for safe, read-only ChatGPT conversation resynchronization. Refresh = Observe + Reconcile + Render.

    Swift

  2. finite-tool-surface-lab finite-tool-surface-lab Public

    How many tools should an AI Worker see? A public research lab for studying the minimum sufficient active tool surface for LLM/agent workers. The central hypothesis:

    Python

  3. finite-ram-lab finite-ram-lab Public

    A small, reproducible systems research lab for understanding how finite physical RAM aligns with actual application memory demand.

    Python

  4. memory-attention-lab memory-attention-lab Public

    Independent reproducibility and systems research for Memory Attention, accelerator residency, offloading, and reconstructable attention state.

    Python

  5. topological-spin-lab topological-spin-lab Public

    A small, reproducible computational physics lab for exploring topological and spin-dependent electronic states on consumer PCs.

    Python 1